Comprehensive Study Guide: Optimization and Curve Sketching
1. Variables and Profit Maximization Strategy
Profit vs. Price Variables:
- Capital $P$ stands for total profit.
- Small $p$ stands for price per unit.
- The speaker emphasizes that these are distinct variables, though students may choose different letters (e.g., $J$) for profit as long as the distinction is maintained.
Substitution Process:
- The formula linking quantity $q$ and price $p$ is $q = 120 - p$.
- To express the profit formula solely in terms of $p$, substitute $(120 - p)$ everywhere $q$ appears.
Maximization Steps:
- 1. Multiply out the simplified profit expression and collect like terms.
- 2. Calculate the first derivative of the profit function with respect to price ($P'(p)$).
- 3. Set the first derivative to zero ($P'(p) = 0$).
- In the provided example, this yields a price $p = 70$.
Calculating the Largest Profit:
- Finding $p = 70$ only identifies the optimal price.
- To find the actual maximum profit, you must plug $p = 70$ back into the original profit formula, not the derivative (which would necessarily equal zero).
2. The Second Derivative Test
Determining Maxima/Minima:
- To verify $p = 70$ is a maximum, calculate the second derivative ($P''(p)$).
- In this case, $P''(p) = -2$.
Interpretation of Constant Second Derivatives:
- Even if the second derivative is a constant (e.g., $-2$) and contains no $p$ to plug the value into, it applies to all points on the curve.
- Since $-2 < 0$, the function is always concave down, meaning any critical point found is a maximum.
Mark Distribution for the Test:
- Calculating the second derivative correctly (1 mark).
- Stating that $P''(p) < 0$ (1 mark).
- Providing a final conclusion that the point is a maximum (1 mark).
3. Alternative Approaches and Endpoint Analysis
Substitution in Terms of $q$:
- One could alternatively rearrange $q = 120 - p$ to $p = 120 - q$ and substitute $p$ out of the profit formula.
- Differentiating with respect to $q$ would yield an optimal quantity, which must then be plugged back into the price-quantity equation to find the final price.
Absolute vs. Local Maximums:
- Technically, to find an absolute maximum, one must check the boundaries/endpoints of the domain.
- In this context, the endpoints for $p$ are typically $p = 0$ (price is zero) and $p = 120$ (quantity is zero).
- Example Calculation:
- At $p = 0$ or $p = 120$, profits may be negative (e.g., $-2400$).
- Compare these values to the profit at $p = 70$. The largest resulting value is the absolute maximum.
4. Curve Sketching: Domain and Intercepts
Function Analyzed:f(x)=x2ln(x2).
Determining the Domain:
- Strategy: Start by assuming the domain is all real numbers, then subtract "errors."
- Error 1: Denominator cannot be zero ($x^2 \neq 0 \implies x \neq 0$).
- Error 2: Logarithms cannot take zero or negative arguments ($x^2 > 0$).
- Because the $x$ is squared inside the natural log, negative numbers are allowed (they become positive before the log is applied). Only $x = 0$ is excluded.
- Domain: All real numbers except zero ($x \in \mathbb{R}, x \neq 0$).
X-Intercepts ($y = 0$):
- Set 0=x2ln(x2).
- Multiply by $x^2$ to get 0=ln(x2).
- Solve using the definition of a logarithm: e0=x2⟹1=x2.
- x=±1.
Y-Intercepts ($x = 0$):
- To find y-intercepts, substitute $x = 0$ into the function.
- Since $x = 0$ is undefined (division by zero and $\ln(0)$), there is no y-intercept.
Parity and Symmetry:
- Test for even/odd by plugging in $(-x)$.
- f(−x)=(−x)2ln((−x)2)=x2ln(x2)=f(x).
- Because $f(-x) = f(x)$, the function is even.
- An even function is symmetrical about the y-axis.
5. Stationary and Singular Points
The First Derivative: The speaker references a derivative where the numerator is $2(1 - \ln(x^2))$.
Solving for Stationary Points:
- Set the numerator to zero: 1−ln(x2)=0⟹ln(x2)=1.
- e1=x2⟹x=±e.
- Decimal approximation: $\sqrt{e} \approx 1.65$.
- Corresponding y-values: Plug $\pm \sqrt{e}$ into f(x).
- Numerator: $\ln((\sqrt{e})^2) = \ln(e) = 1$.
- Denominator: $(\sqrt{e})^2 = e$.
- Stationary points are at (e,e1) and (−e,e1).
Singular Points vs. Asymptotes:
- A singular point occurs where the derivative is undefined but the original function is defined (e.g., $y = \sqrt{|x|}$ at $x = 0$).
- $x = 0$ makes the derivative of f(x)=x2ln(x2) undefined, but since the original function is also undefined at $x = 0$, it is an asymptote, not a singular point.
6. First Derivative Number Line Analysis
Critical values for the number line: $-\sqrt{e}$, $0$, and $\sqrt{e}$.
Conclusion:
- $(-\sqrt{e}, \frac{1}{e})$ is a local maximum.
- $(\sqrt{e}, \frac{1}{e})$ is a local maximum.
7. Second Derivative and Points of Inflection
In the 2025 assessment, the second derivative and x-coordinates for inflection points were provided to students.
Inflection Points: Occur where $f''(x) = 0$.
The speaker identifies the x-values for these points as $\pm \sqrt{e^{5/3}}$ (approx. $\pm 2.3$).
Number Line for $f''(x)$:
- Critical values: $-\sqrt{e^{5/3}}$, $0$, and $\sqrt{e^{5/3}}$.
- Even if a point is an asymptote (like $x = 0$), it must be included on the number line to check for changes in concavity.
8. Questions & Discussion
Question: If zero is a singular point, would the graph have a sharp corner?
Response: If zero were a singular point, the graph would have a sharp corner or a vertical tangent. However, in this specific function, $x = 0$ is a vertical asymptote because the function itself is undefined there.
Question: Should we include the endpoint in the interval when stating where a function is increasing?
Response: Generally, functions are considered increasing on an interval if the derivative is $\ge 0$. There is a technical distinction between "increasing" (includes $\ge 0$) and "strictly increasing" (only $> 0$), but usually, including the endpoint (e.g., $x \le -\sqrt{e}$) is acceptable and won't lose marks.